Work

Financial Credit Risk Control Strategy Based on Weighted Random Forest Algorithm

Year: 2021

Type: article

Abstract: In order to improve the effectiveness of financial credit risk control, a financial credit risk control strategy based on weighted random forest algorithm is proposed. The weighted random forest algorithm is used to classify the financial credit risk data, construct the evaluation index system, and use the analytic hierarchy process to evaluate the financial credit risk level. The targeted risk control strategies are taken according to different risk assessment results. We compared the proposed method with two other methods, and the experimental results show that the proposed method has higher classification accuracy of financial credit data and the risk assessment threshold is basically consistent with the actual results.

Source: Scientific Programming

DOI: 10.1155/2021/6276155

Author: Guo Yangyudongnanxin

Institution: Hunan International Economics University

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,000

Funder: Hunan Provincial Science and Technology Department